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基于团簇的层状材料的多尺度视角:面向催化和储能应用的设计与功能优化

A multiscale perspective on cluster-based layered materials: Design and function optimization toward catalytic and energy storage applications.

作者信息

Qian Binbin, Xu Ke, Zhang Dantong, Komarneni Sridhar, Xue Dongfeng

机构信息

Multiscale Crystal Materials Research Center, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.

Materials Research Institute and Department of Ecosystem Science and Management, 204 Energy and the Environment Laboratory, The Pennsylvania State University, University Park, PA 16802, USA.

出版信息

Fundam Res. 2024 Jan 3;5(4):1668-1682. doi: 10.1016/j.fmre.2023.12.003. eCollection 2025 Jul.

DOI:10.1016/j.fmre.2023.12.003
PMID:40777769
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12327831/
Abstract

Layered materials have become one of the focuses in chemistry and materials science due to their unique structural characteristics and highly tunable properties. Clusters with mesoscale dynamic structures can be introduced into layered materials as structural units or guests, endowing cluster-based layered materials with enhanced or emerging new properties different from those of the individual components. This review starts with a summary of the design and assembly strategies of typical cluster-based layered materials from a multiscale perspective, and then introduces the multiscale characterization and simulation platform. Additionally, we discuss the recent progress in the catalytic and energy storage application of cluster-based layered materials and summarize the current challenges and future directions in this field.

摘要

层状材料因其独特的结构特征和高度可调控的性质,已成为化学和材料科学领域的研究热点之一。具有中尺度动态结构的团簇可以作为结构单元或客体引入到层状材料中,赋予基于团簇的层状材料与单个组分不同的增强或新出现的性质。本文综述首先从多尺度角度总结了典型的基于团簇的层状材料的设计和组装策略,然后介绍了多尺度表征和模拟平台。此外,我们还讨论了基于团簇的层状材料在催化和储能应用方面的最新进展,并总结了该领域当前面临的挑战和未来发展方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/854bbeb07954/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/72f9ebbcdfd0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/1cc41642ce1e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/ec39a966bbac/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/4a6bc9ccfc97/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/c42e8d0f9343/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/73aa8bc8b857/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/d1e92c39babf/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/854bbeb07954/gr8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/72f9ebbcdfd0/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/1cc41642ce1e/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/ec39a966bbac/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/4a6bc9ccfc97/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/c42e8d0f9343/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/73aa8bc8b857/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/d1e92c39babf/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4675/12327831/854bbeb07954/gr8.jpg

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